IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Una aproximación a la construcción de un indicador de pobreza multidimensional. ¿Cuáles son los focos de riesgo en España? = An Approach to Construct a Multidimensional Poverty Indicator. Which are the Risk Sources in Spain?

Listed author(s):
  • Poza Lara, Carlos


    (Departamento de Economía y Administración de Empresas, Universidad Antonio de Nebrija)

  • Fernández Cornejo, José Andrés


    (Departamento de Economía Aplicada III (Política Económica), Universidad Complutense de Madrid)

Registered author(s):

    El objetivo de este trabajo es construir un indicador de pobreza multidimensional que permita detectar los principales focos de riesgo de pobreza en España. El indicador, que ha sido elaborado mediante un análisis factorial de segundo orden, se compone de una parte objetiva y otra subjetiva, que incorpora diferentes dimensiones, tales como la satisfacción ante la renta, el trabajo, el ocio y la vivienda. Los resultados alcanzados se presentan de forma detallada para la muestra ampliada del PHOGUE del año 2000 y, de forma comparativa, entre 1994 y 2001. The aim of this paper is to construct a multidimensional poverty indicator, to detect the main poverty risk focuses in Spain. The indicator, which has been developed through a second-order factor analysis, consists of an objective and a subjective part, which incorporate various dimensions such as income, employment, leisure and housing. The results are presented in detail to the enlarged sample of the EUHP 2000 and on a comparative basis between 1994 and 2001.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    File URL:
    Download Restriction: no

    Article provided by Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration in its journal Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration.

    Volume (Year): 10 (2010)
    Issue (Month): 1 (December)
    Pages: 43-72

    in new window

    Handle: RePEc:pab:rmcpee:v:10:y:2010:i:1:p:43-72
    Contact details of provider: Postal:
    Carretera de Utrera km.1, 41013 Sevilla

    Phone: + 34 954 34 8913
    Fax: + 34 954 34 9339
    Web page:

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:pab:rmcpee:v:10:y:2010:i:1:p:43-72. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Publicación Digital - UPO)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.